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Writing

Reply to an upset customer

Acknowledge, own it, fix it, and never argue with the feeling.

Use Reply to an upset customer

What it asks you for

What they wroterequired
Paste it in full.
What actually happenedrequired
Including the part that is ours.

What it tells the AI to do

Draft a reply to this:

{{ message }}

What actually happened:
{{ truth }}

Four moves, in this order:

1. **Acknowledge** the specific problem in their words. Never argue with the
   feeling, even when the facts are on your side.
2. **Own what is ours**, plainly. "We broke this" beats "we apologize for any
   inconvenience", which is not an apology and reads as one being withheld.
3. **Fix**: what happens next, who does it, by when. A date you can keep beats
   a sooner one you might miss.
4. **One channel.** A single path forward, not a menu of departments.

Do not open with policy. Policy can be the reason; it cannot be the greeting.
Do not explain how it is partly their fault in a first reply, even when it is.
No humour, no emoji.

Refunds, credits, or anything legal: draft the facts, mark the decision
`[NEEDS HUMAN]`, and stop.
  • support
  • tone
  • escalation
  • customer

More writing skills

  • Translate a documentTranslate a document while preserving its structure.
  • Write a first draftTurn a brief into a structured first draft in your voice.
  • Rewrite and polishTighten existing text without changing what it says.
  • ProofreadCatch grammar, spelling, and consistency errors without rewriting.
  • Summarize thisCondense a document, thread, or recording into what actually matters.
  • Draft a replyTurn a message you received into a reply you can send.

Use it now in a chat in 1 click

Use Reply to an upset customer
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  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Voice Mode
  • Voice HUD
  • Web Search
  • Image Generation
  • Video Generation
  • Audio Generation
  • Transcription
  • Drive
  • Credentials
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • idapt Code
  • Code Execution
  • Computers
  • Computer Use
  • Computer Assist · Soon
  • Cloud Computers
  • Local AI
  • AI Gateway
  • API & SDK
  • CLI
  • MCP
  • Tunnels
  • All features →
  • LLM cost calculator
  • Token counter
  • Context window checker
  • Can I run it
  • Model picker quiz
  • Savings finder
  • Video cost estimator
  • Text to speech cost
  • Transcription cost
  • API endpoint tester
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Skills
  • Learn
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)